In addition to the detection models, a set of helpful utility functions is designed to facilitate graph outlier detection.
Evaluation-wise, PyGOD provides common metrics for graph OD in the utils.metric module.
Data-wise, PyGOD offers outlier injection methods for both structure and attribute settings [1]} in utils.outlier_generator, as a solution to model evaluation and benchmarking.
